HISTO4 calculates histogram of multidimensional data samples and supports data compression R = HISTO4(Y) R = HISTO4(Y, W) Y data: on sample per row, each sample has with size(Y,2) elements W weights of each sample (default: []) W = [] indicates that each sample has equal weight R is a struct with these fields: R.X are the bin-values R.H is the frequency of occurence of value X (weighted with W) R.N are the total number of samples (or sum of W) HISTO4 might be useful for data compression, because [R,tix] = histo4(Y) is the compression step R.X(tix,:) is the decompression step The effort (in memory and speed) for compression is O(n*log(n)) The effort (in memory and speed) for decompression is only O(n) see also: HISTO, HISTO2, HISTO3, HISTO4
Package: nan